Auto_TS VS ChatLog

Compare Auto_TS vs ChatLog and see what are their differences.

Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome. (by AutoViML)
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Auto_TS ChatLog
6 1
674 93
- -
6.8 5.9
1 day ago 12 days ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Auto_TS

Posts with mentions or reviews of Auto_TS. We have used some of these posts to build our list of alternatives and similar projects.

ChatLog

Posts with mentions or reviews of ChatLog. We have used some of these posts to build our list of alternatives and similar projects.
  • ChatLog: Recording and Analyzing ChatGPT Across Time
    1 project | /r/BotNews | 28 Apr 2023
    While there are abundant researches about evaluating ChatGPT on natural language understanding and generation tasks, few studies have investigated how ChatGPT's behavior changes over time. In this paper, we collect a coarse-to-fine temporal dataset called ChatLog, consisting of two parts that update monthly and daily: ChatLog-Monthly is a dataset of 38,730 question-answer pairs collected every month including questions from both the reasoning and classification tasks. ChatLog-Daily, on the other hand, consists of ChatGPT's responses to 1000 identical questions for long-form generation every day. We conduct comprehensive automatic and human evaluation to provide the evidence for the existence of ChatGPT evolving patterns. We further analyze the unchanged characteristics of ChatGPT over time by extracting its knowledge and linguistic features. We find some stable features to improve the robustness of a RoBERTa-based detector on new versions of ChatGPT. We will continuously maintain our project at https://github.com/THU-KEG/ChatLog.

What are some alternatives?

When comparing Auto_TS and ChatLog you can also consider the following projects:

Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

matrixprofile - A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.